What are the hardware requirements for Typhoon Finance?

Typhoon Finance requires approximately 16.1 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Typhoon Finance and how large is it?

Typhoon Finance is developed by Chanakan5591, a model with 8b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Typhoon Finance?

Typhoon Finance is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Typhoon Finance by Chanakan5591 — VRAM 16.1GB, 8K context

Name: Typhoon Finance
Author: Chanakan5591

Typhoon Finance is an open-source language model by Chanakan5591. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

Base model:quantized:typhoon-a... Base model:typhoon-ai/llama-3-... Conversational En Endpoints compatible Gguf Instruct Llama Pytorch Quantized Region:us Sft Sharded Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/Chanakan5591/typhoon-finance

Typhoon Finance Parameters and Internals

Model Type

text-generation-inference, transformers, unsloth, llama, trl, sft

Additional Notes

This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.

LLM Name	Typhoon Finance
Repository 🤗	https://huggingface.co/Chanakan5591/typhoon-finance
Base Model(s)	scb10x/llama-3-typhoon-v1.5x-8b-instruct scb10x/llama-3-typhoon-v1.5x-8b-instruct
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-08-25
Maintainer	Chanakan5591
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4 4.9 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.41.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	128256
Torch Data Type	float16

Rank the Typhoon Finance capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Typhoon Finance

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...truct Gradient 1048K IMat GGUF	1024K / 2 GB	650	6
...B Instruct Gradient 1048K GGUF	1024K / 3.2 GB	445	3
Llama 3 8B Instruct 262K GGUF	256K / 3.2 GB	208	2
Grok Oss Apollyon 8B	128K / 16.1 GB	3449	8
...3 8B Instruct 128K Jbliterated	128K / 4.9 GB	536	3
Grok Oss Revenant 8B	128K / 16.1 GB	324	0
Llama 3.1 8B Instruct GGUF	128K / 2.2 GB	17956	41
... 8B Instruct Reasoner 1o1 V0.3	128K / 16.1 GB	322	8
...tion Sec 8B Instruct Q8 0 GGUF	128K / 8.5 GB	905	6
Llama 3.1 TAIDE R1 8B Chat	128K / 17.1 GB	1383	23

Note: green Score (e.g. "73.2") means that the model is better than Chanakan5591/typhoon-finance.